Sublime Security medium experimental mql
Callback phishing in body or attachment (untrusted sender)
Detects callback scams by analyzing text within images of receipts or invoices from untrusted senders.
Detection Logic
type.inbound
and length(attachments) < 5
and (
any(attachments,
(
.file_type in $file_types_images
or .file_type in ("pdf", "xlsx", "docx")
)
and (
any(ml.nlu_classifier(beta.ocr(.).text).intents,
.name == "callback_scam" and .confidence in ("medium", "high")
)
or any(file.explode(.),
// exclude images taken with mobile cameras and screenshots from android
not any(.scan.exiftool.fields,
.key == "Model"
or (
.key == "Software"
and strings.starts_with(.value, "Android")
)
or (.key == "UserComment" and .value == "Screenshot")
)
and any(ml.nlu_classifier(.scan.ocr.raw).intents,
.name == "callback_scam"
and .confidence in ("medium", "high")
)
)
)
and (
// negate noreply unless a logo is found in the attachment
(
sender.email.local_part in ("no_reply", "noreply")
and any(ml.logo_detect(.).brands,
.name in ("PayPal", "Norton", "GeekSquad", "Ebay", "McAfee")
)
)
or sender.email.local_part not in ("no_reply", "noreply")
)
)
or (
any(ml.nlu_classifier(body.current_thread.text).intents,
.name in ("callback_scam") and .confidence in ("medium", "high")
)
and (
(
270 < length(body.current_thread.text) < 1750
or (
75 < length(body.current_thread.text) < 1750
and (
strings.ilike(body.current_thread.text,
"*PayPal*",
"*Norton*",
"*GeekSquad*",
"*Ebay*",
"*McAfee*",
"*=1"
)
// phone number regex
or regex.icontains(body.current_thread.text,
'\+?([ilo0-9]{1}.)?\(?[ilo0-9]{3}?\)?.[ilo0-9]{3}.?[ilo0-9]{4}',
'\+?([ilo0-9]{1,2})?\s?\(?\d{3}\)?[\s\.\-⋅]{0,5}[ilo0-9]{3}[\s\.\-⋅]{0,5}[ilo0-9]{4}'
)
or 1 of (
strings.icontains(beta.ocr(file.message_screenshot()).text,
"geek squad"
),
strings.icontains(beta.ocr(file.message_screenshot()).text,
"lifelock"
),
strings.icontains(beta.ocr(file.message_screenshot()).text,
"best buy"
),
strings.icontains(beta.ocr(file.message_screenshot()).text,
"mcafee"
),
strings.icontains(beta.ocr(file.message_screenshot()).text,
"norton"
),
strings.icontains(beta.ocr(file.message_screenshot()).text,
"ebay"
),
strings.icontains(beta.ocr(file.message_screenshot()).text,
"paypal"
),
strings.icontains(beta.ocr(file.message_screenshot()).text,
"virus"
),
)
)
)
)
)
)
)
and not (
any(headers.domains, .domain == "smtp-out.gcp.bigcommerce.net")
and strings.icontains(body.html.raw, "bigcommerce.com")
)
and (
not profile.by_sender_email().solicited
or (
profile.by_sender_email().any_messages_malicious_or_spam
and not profile.by_sender_email().any_messages_benign
)
)
// negate highly trusted sender domains unless they fail DMARC authentication
and not (
sender.email.domain.root_domain in $high_trust_sender_root_domains
and coalesce(headers.auth_summary.dmarc.pass, false)
)
// negate opsgenie email notifications
and not sender.email.email == 'opsgenie@opsgenie.net' Field Validations
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